Kemal Oksuz

34 papers A* 5A 2Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges.
Trans. Mach. Learn. Res.
Kemal Oksuz, Alexandru Buburuzan, Anthony Knittel, Yuhan Yao, Puneet K. Dokania
2025 J jnl
Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges.
CoRR
Kemal Oksuz, Alexandru Buburuzan, Anthony Knittel, Yuhan Yao, Puneet K. Dokania
2024 — conf
Bucketed Ranking-Based Losses for Efficient Training of Object Detectors.
ECCV (59)
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan
2024 J jnl
Bucketed Ranking-based Losses for Efficient Training of Object Detectors.
CoRR
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan
2024 J jnl
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection.
Trans. Mach. Learn. Res.
Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania
2024 — conf
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines.
ECCV (21)
Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania
2024 J jnl
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines.
CoRR
Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania
2024 — conf
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation.
ECCV Workshops (10)
Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania
2024 A* conf
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study.
NeurIPS
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip Torr, Amartya Sanyal, Puneet K. Dokania
2024 J jnl
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study.
CoRR
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H. S. Torr, Amartya Sanyal, Puneet K. Dokania
2023 J jnl
Class Uncertainty: A Measure to Mitigate Class Imbalance.
CoRR
Zeynep Sonat Baltaci, Kemal Oksuz, Selim Kuzucu, Kivanc Tezoren, Berkin Kerim Konar, Alpay Ozkan, Emre Akbas, Sinan Kalkan
2023 A* conf
Correlation Loss: Enforcing Correlation between Classification and Localization.
AAAI
Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas
2023 J jnl
Correlation Loss: Enforcing Correlation between Classification and Localization.
CoRR
Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas
2023 J jnl
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection.
CoRR
Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania
2023 J jnl
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation.
CoRR
Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania
2023 A* conf
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration.
CVPR
Kemal Oksuz, Tom Joy, Puneet K. Dokania
2023 J jnl
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration.
CoRR
Kemal Oksuz, Tom Joy, Puneet K. Dokania
2022 J jnl
One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks.
IEEE Trans. Pattern Anal. Mach. Intell.
Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas
2021 — —
Identifying and addressing imbalance problems in visual detection (Görsel tespitteki dengesizlik problemlerinin belirlenmesi ve çözümlenmesi)
Kemal Oksuz
2021 J jnl
Imbalance Problems in Object Detection: A Review.
IEEE Trans. Pattern Anal. Mach. Intell.
Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas
2021 A conf
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation.
BMVC
Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas
2021 J jnl
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation.
CoRR
Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas
2021 A* conf
Rank & Sort Loss for Object Detection and Instance Segmentation.
ICCV
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2021 J jnl
Rank & Sort Loss for Object Detection and Instance Segmentation.
CoRR
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2020 A* conf
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection.
NeurIPS
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2020 J jnl
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection.
CoRR
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2020 A conf
Generating Positive Bounding Boxes for Balanced Training of Object Detectors.
WACV
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2020 J jnl
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks.
CoRR
Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas
2019 J jnl
Generating Positive Bounding Boxes for Balanced Training of Object Detectors.
CoRR
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2019 J jnl
Imbalance Problems in Object Detection: A Review.
CoRR
Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas
2018 — conf
Localization Recall Precision (LRP): A New Performance Metric for Object Detection.
ECCV (7)
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2018 J jnl
Localization Recall Precision (LRP): A New Performance Metric for Object Detection.
CoRR
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
2017 — conf
Deficiency aware subpattern assignment.
SIU
Kemal Oksuz, Ali Taylan Cemgil
2016 — conf
The comparison of the performances of global nearest neighbor and probability hypothesis density filter for varying clutter rates.
SIU
Kemal Oksuz, Ali Taylan Cemgil